CMA (version 1.30.0)

toplist: Display 'top' variables

Description

This is a convenient method to get quick access to the most important variables, based on the result of call to GeneSelection.

Usage

toplist(object, k = 10, iter = 1, show = TRUE, ...)

Arguments

object
An object of genesel.
k
Number of top genes for which information should be displayed. Defaults to 10.
iter
teration number (learningset) for which tuning results should be displayed.
show
Should the results be printed ? Default is TRUE.
...
Currently unused argument.

Value

the multiclass case, if gene selection has been run with the "pairwise" or "one-vs-all" scheme, then the output will be a list of data.frames, each containing the gene indices plus variable importance for the top k genes. The list elements are named according to the binary scenarios (e.g., 1 vs. 3). Otherwise, a single data.frame is returned.

References

Slawski, M. Daumer, M. Boulesteix, A.-L. (2008) CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics 9: 439

See Also

genesel, GeneSelection, plot,genesel-method